An Improved Distributed Energy Efficient Clustering Algorithm for Heterogeneous WSNs

Wireless sensor network (WSNs) have been used to achieve seamless, energy efficient, reliable and low-cost remote monitoring and control in many applications. As the energy of sensor nodes are limited, a solid energy-efficient algorithm is necessary to improve the energy efficient in heterogeneous WSNs. In this paper, we propose an improved distributed energy efficient clustering algorithm (IDEEC) for heterogeneous WSNs. IDEEC considers the multi-level energy model. We simplify the probability threshold, improve the cluster head selection probability and optimize the estimation of the average energy of network. Simulation results confirm the performance supremacy of IDEEC compared to current clustering protocols in terms of stability period, number of messages, mean and variance of cluster heads (CHs), furthermore, IDEEC takes the minimum running time, which makes it easier to be applied in reality.